{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\LLN (2016-17)\SurveyExperiment\FPA_2020\FPA_1st_round\FPA_2nd_R&R\ReplicationData\replication��o��\log_FTA.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}29 Jul 2022, 23:16:00

{com}. *---------------------------------------------------------------------------------------

. 
. *Statistical analyses are conducted using STATA 13.0. 

. 
. *Figures are made using JMP Pro16.

. 
. *---------------------------------------------------------------------------------------

. 
. 
. 
. 
. 
. *------------Analyzing both Nonsatisficers and Satisficers-----------------

. 
. 
. 
. label values Nonsatisficer Nonsatisficerlbl

. 
. label define Nonsatisficerlbl 0 "Satisficer" 1 "Nonsatisficer" 

. 
. 
. 
. label values AIMtreat AIMtreatlbl

. 
. label define AIMtreat 1 "Security" 2 "Economy" 3 "Presence" 4 "Control"

. 
. 
. 
. label values MEMBERtreat MEMBERtreatlbl

. 
. label define MEMBERtreat 1 "Security" 2 "Economy" 3 "Presence" 4 "Control" 

. 
. 
. 
. *Table A6 Association between Satisficers and Treatments

. 
. tabulate Nonsatisficer AIMtreat, chi2 row
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

              {c |}                  AIMtreat
Nonsatisficer {c |}         1          2          3          4 {c |}     Total
{hline 14}{c +}{hline 44}{c +}{hline 10}
   Satisficer {c |}{res}       266        279        293        293 {txt}{c |}{res}     1,131 
              {txt}{c |}{res}     23.52      24.67      25.91      25.91 {txt}{c |}{res}    100.00 
{txt}{hline 14}{c +}{hline 44}{c +}{hline 10}
Nonsatisficer {c |}{res}       547        532        519        521 {txt}{c |}{res}     2,119 
              {txt}{c |}{res}     25.81      25.11      24.49      24.59 {txt}{c |}{res}    100.00 
{txt}{hline 14}{c +}{hline 44}{c +}{hline 10}
        Total {c |}{res}       813        811        812        814 {txt}{c |}{res}     3,250 
              {txt}{c |}{res}     25.02      24.95      24.98      25.05 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}3{txt}) = {res}  2.7115  {txt} Pr = {res}0.438

{com}. 
. tabulate Nonsatisficer MEMBERtreat, chi2 row
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

              {c |}                      MEMBERtreat
Nonsatisficer {c |}         1          2          3          4          5 {c |}     Total
{hline 14}{c +}{hline 55}{c +}{hline 10}
   Satisficer {c |}{res}       225        210        217        241        238 {txt}{c |}{res}     1,131 
              {txt}{c |}{res}     19.89      18.57      19.19      21.31      21.04 {txt}{c |}{res}    100.00 
{txt}{hline 14}{c +}{hline 55}{c +}{hline 10}
Nonsatisficer {c |}{res}       424        443        434        408        410 {txt}{c |}{res}     2,119 
              {txt}{c |}{res}     20.01      20.91      20.48      19.25      19.35 {txt}{c |}{res}    100.00 
{txt}{hline 14}{c +}{hline 55}{c +}{hline 10}
        Total {c |}{res}       649        653        651        649        648 {txt}{c |}{res}     3,250 
              {txt}{c |}{res}     19.97      20.09      20.03      19.97      19.94 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}  5.2494  {txt} Pr = {res}0.263

{com}. 
. 
. 
. *------------Analyzing only Nonsatisficers-----------------

. 
. keep if Nonsatisficer==1
{txt}(1131 observations deleted)

{com}. 
. 
. 
. *CREATE dependent variables (5 point-scale)

. 
. generate FTAapproval5 = 5 if FTAapproval==1
{txt}(1703 missing values generated)

{com}. 
. replace FTAapproval5 = 4 if FTAapproval==2
{txt}(917 real changes made)

{com}. 
. replace FTAapproval5 = 3 if FTAapproval==5
{txt}(458 real changes made)

{com}. 
. replace FTAapproval5 = 2 if FTAapproval==3
{txt}(231 real changes made)

{com}. 
. replace FTAapproval5 = 1 if FTAapproval==4
{txt}(97 real changes made)

{com}. 
. 
. 
. *CREATE binary dependent variables

. 
. generate FTAapproval2 = 0 

. 
. replace FTAapproval2 = 1 if FTAapproval <3
{txt}(1333 real changes made)

{com}. 
. 
. 
. *CREATE dummy variables of MEMBERtreat

. 
. generate MEMBER_USCH = 0

. 
. replace MEMBER_USCH = 1 if MEMBERtreat==3
{txt}(434 real changes made)

{com}. 
. generate MEMBER_US = 0

. 
. replace MEMBER_US = 1 if MEMBERtreat==1
{txt}(424 real changes made)

{com}. 
. generate MEMBER_NOGP = 0

. 
. replace MEMBER_NOGP = 1 if MEMBERtreat==4
{txt}(408 real changes made)

{com}. 
. generate MEMBER_CONTROL = 0

. 
. replace MEMBER_CONTROL = 1 if MEMBERtreat==5
{txt}(410 real changes made)

{com}. 
. 
. 
. *CREATE variable of SYMPATHY_US

. 
. generate SYMPATHY_US = 4 if SYMPATHY_us==1
{txt}(1845 missing values generated)

{com}. 
. replace SYMPATHY_US = 3 if SYMPATHY_us==2
{txt}(1133 real changes made)

{com}. 
. replace SYMPATHY_US = 2 if SYMPATHY_us==3
{txt}(556 real changes made)

{com}. 
. replace SYMPATHY_US = 1 if SYMPATHY_us==4
{txt}(156 real changes made)

{com}. 
. 
. 
. *CREATE variable of SYMPATHY_CH

. 
. generate SYMPATHY_CH = 4 if SYMPATHY_ch==1
{txt}(2082 missing values generated)

{com}. 
. replace SYMPATHY_CH = 3 if SYMPATHY_ch==2
{txt}(282 real changes made)

{com}. 
. replace SYMPATHY_CH = 2 if SYMPATHY_ch==3
{txt}(794 real changes made)

{com}. 
. replace SYMPATHY_CH = 1 if SYMPATHY_ch==4
{txt}(1006 real changes made)

{com}. 
. 
. 
. *RECODE MALE variable

. 
. replace MALE = 0 if MALE==2
{txt}(1015 real changes made)

{com}. 
. 
. 
. *CREATE variable of COLLEGE

. 
. generate COLLEGE = 0 if EDU < 6
{txt}(21 missing values generated)

{com}. 
. replace COLLEGE = 1 if EDU < 3
{txt}(441 real changes made)

{com}. 
. 
. 
. *CREATE variable of PARTY_LDP

. 
. generate PARTY_LDP = 0 

. 
. replace PARTY_LDP = 1 if PARTY==1
{txt}(533 real changes made)

{com}. 
. 
. 
. *CREATE variable of INTL_BUSINESS

. 
. generate INTL_BUSINESS = 0

. 
. replace INTL_BUSINESS = 1 if INTL_BUSINESS_1==1
{txt}(183 real changes made)

{com}. 
. replace INTL_BUSINESS = 1 if INTL_BUSINESS_2==1
{txt}(44 real changes made)

{com}. 
. replace INTL_BUSINESS = 1 if INTL_BUSINESS_3==1
{txt}(32 real changes made)

{com}. 
. replace INTL_BUSINESS = 1 if INTL_BUSINESS_4==1
{txt}(126 real changes made)

{com}. 
. 
. 
. *Table 1. Multivariate Analysis of FTA Approval under the Security Aim Treatment

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL SYMPATHY_US SYMPATHY_CH MALE AGE COLLEGE PARTY_LDP INTL_BUSINESS if AIMtreat==1, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-757.97102}  
Iteration 1:{space 3}log likelihood = {res:-710.59721}  
Iteration 2:{space 3}log likelihood = {res:-709.65381}  
Iteration 3:{space 3}log likelihood = {res:-709.65161}  
Iteration 4:{space 3}log likelihood = {res:-709.65161}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       541
{txt}{col 51}LR chi2({res}11{txt}){col 67}= {res}     96.64
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-709.65161{txt}{col 51}Pseudo R2{col 67}= {res}    0.0637

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |} Odds Ratio{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} 1.660479{col 28}{space 2} .4099725{col 39}{space 1}    2.05{col 48}{space 3}0.040{col 56}{space 4} 1.023462{col 69}{space 3} 2.693985
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2}  2.18036{col 28}{space 2}  .551231{col 39}{space 1}    3.08{col 48}{space 3}0.002{col 56}{space 4} 1.328405{col 69}{space 3} 3.578706
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} 1.181228{col 28}{space 2} .3087758{col 39}{space 1}    0.64{col 48}{space 3}0.524{col 56}{space 4}  .707665{col 69}{space 3} 1.971695
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} 1.155894{col 28}{space 2} .2941809{col 39}{space 1}    0.57{col 48}{space 3}0.569{col 56}{space 4} .7019122{col 69}{space 3} 1.903501
{txt}{space 3}SYMPATHY_US {c |}{col 16}{res}{space 2} 2.019747{col 28}{space 2} .2340635{col 39}{space 1}    6.07{col 48}{space 3}0.000{col 56}{space 4}  1.60936{col 69}{space 3} 2.534782
{txt}{space 3}SYMPATHY_CH {c |}{col 16}{res}{space 2} .7070788{col 28}{space 2}  .079991{col 39}{space 1}   -3.06{col 48}{space 3}0.002{col 56}{space 4} .5664641{col 69}{space 3} .8825987
{txt}{space 10}MALE {c |}{col 16}{res}{space 2} 1.843653{col 28}{space 2} .3069353{col 39}{space 1}    3.67{col 48}{space 3}0.000{col 56}{space 4} 1.330361{col 69}{space 3} 2.554989
{txt}{space 11}AGE {c |}{col 16}{res}{space 2}  1.02045{col 28}{space 2} .0064363{col 39}{space 1}    3.21{col 48}{space 3}0.001{col 56}{space 4} 1.007913{col 69}{space 3} 1.033144
{txt}{space 7}COLLEGE {c |}{col 16}{res}{space 2} .6681174{col 28}{space 2} .1345825{col 39}{space 1}   -2.00{col 48}{space 3}0.045{col 56}{space 4} .4501847{col 69}{space 3} .9915505
{txt}{space 5}PARTY_LDP {c |}{col 16}{res}{space 2} 1.468623{col 28}{space 2} .2941455{col 39}{space 1}    1.92{col 48}{space 3}0.055{col 56}{space 4} .9918043{col 69}{space 3} 2.174676
{txt}{space 1}INTL_BUSINESS {c |}{col 16}{res}{space 2} 1.351195{col 28}{space 2}  .284612{col 39}{space 1}    1.43{col 48}{space 3}0.153{col 56}{space 4} .8941763{col 69}{space 3} 2.041798
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-.2465504{col 28}{space 2} .4753181{col 56}{space 4}-1.178157{col 69}{space 3}  .685056
{txt}         /cut2 {c |}{col 16}{res}{space 2} 1.167258{col 28}{space 2} .4545149{col 56}{space 4} .2764249{col 69}{space 3}  2.05809
{txt}         /cut3 {c |}{col 16}{res}{space 2} 2.388821{col 28}{space 2} .4598499{col 56}{space 4} 1.487532{col 69}{space 3}  3.29011
{txt}         /cut4 {c |}{col 16}{res}{space 2} 4.761308{col 28}{space 2} .4965784{col 56}{space 4} 3.788032{col 69}{space 3} 5.734584
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *Table 2. Multivariate Analysis of FTA Approval under the Economyy Aim Treatment

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL SYMPATHY_US SYMPATHY_CH MALE AGE COLLEGE PARTY_LDP INTL_BUSINESS if AIMtreat==2, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-707.59663}  
Iteration 1:{space 3}log likelihood = {res:-646.39833}  
Iteration 2:{space 3}log likelihood = {res: -644.8874}  
Iteration 3:{space 3}log likelihood = {res:-644.88276}  
Iteration 4:{space 3}log likelihood = {res:-644.88276}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       525
{txt}{col 51}LR chi2({res}11{txt}){col 67}= {res}    125.43
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-644.88276{txt}{col 51}Pseudo R2{col 67}= {res}    0.0886

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |} Odds Ratio{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} 1.608085{col 28}{space 2} .4108796{col 39}{space 1}    1.86{col 48}{space 3}0.063{col 56}{space 4} .9745852{col 69}{space 3} 2.653374
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2} 2.186485{col 28}{space 2} .5689016{col 39}{space 1}    3.01{col 48}{space 3}0.003{col 56}{space 4} 1.313023{col 69}{space 3}    3.641
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} 1.386416{col 28}{space 2} .3608404{col 39}{space 1}    1.26{col 48}{space 3}0.209{col 56}{space 4} .8324391{col 69}{space 3} 2.309056
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} 1.986296{col 28}{space 2} .5056276{col 39}{space 1}    2.70{col 48}{space 3}0.007{col 56}{space 4} 1.206046{col 69}{space 3} 3.271329
{txt}{space 3}SYMPATHY_US {c |}{col 16}{res}{space 2} 1.550901{col 28}{space 2} .1827426{col 39}{space 1}    3.72{col 48}{space 3}0.000{col 56}{space 4} 1.231082{col 69}{space 3} 1.953805
{txt}{space 3}SYMPATHY_CH {c |}{col 16}{res}{space 2} 1.152792{col 28}{space 2} .1394684{col 39}{space 1}    1.18{col 48}{space 3}0.240{col 56}{space 4} .9094317{col 69}{space 3} 1.461275
{txt}{space 10}MALE {c |}{col 16}{res}{space 2} 2.635667{col 28}{space 2}  .463582{col 39}{space 1}    5.51{col 48}{space 3}0.000{col 56}{space 4}  1.86713{col 69}{space 3} 3.720545
{txt}{space 11}AGE {c |}{col 16}{res}{space 2} 1.027224{col 28}{space 2} .0064901{col 39}{space 1}    4.25{col 48}{space 3}0.000{col 56}{space 4} 1.014582{col 69}{space 3} 1.040024
{txt}{space 7}COLLEGE {c |}{col 16}{res}{space 2} .8667465{col 28}{space 2} .1777667{col 39}{space 1}   -0.70{col 48}{space 3}0.486{col 56}{space 4} .5798472{col 69}{space 3} 1.295599
{txt}{space 5}PARTY_LDP {c |}{col 16}{res}{space 2} 2.448202{col 28}{space 2} .5054117{col 39}{space 1}    4.34{col 48}{space 3}0.000{col 56}{space 4} 1.633516{col 69}{space 3} 3.669197
{txt}{space 1}INTL_BUSINESS {c |}{col 16}{res}{space 2} 1.370996{col 28}{space 2} .3197973{col 39}{space 1}    1.35{col 48}{space 3}0.176{col 56}{space 4} .8679316{col 69}{space 3} 2.165642
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2} .1504675{col 28}{space 2} .4962911{col 56}{space 4}-.8222451{col 69}{space 3}  1.12318
{txt}         /cut2 {c |}{col 16}{res}{space 2} 1.528623{col 28}{space 2} .4623767{col 56}{space 4} .6223808{col 69}{space 3} 2.434864
{txt}         /cut3 {c |}{col 16}{res}{space 2} 3.060032{col 28}{space 2}  .472286{col 56}{space 4} 2.134369{col 69}{space 3} 3.985696
{txt}         /cut4 {c |}{col 16}{res}{space 2} 5.431437{col 28}{space 2} .5135075{col 56}{space 4} 4.424981{col 69}{space 3} 6.437893
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *>>>Some numbers of Table 2 are slightly different from those on the accepted manuscript. *Sorry, but probably I mistakenly copy the numbers. Still, the differences are quite small.  *The conclusion of the manuscript does not change at all.>>>

. 
. 
. 
. * Figure 1 Member Treatment and FTA Approval

. 
. ci FTAapproval2 if MEMBERtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       424{col 29} .6650943{col 41} .0229203{col 57} .6179582{col 69} .7099072{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       443{col 29} .5711061{col 41} .0235143{col 57} .5235441{col 69} .6177123{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==3, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       434{col 29} .6820276{col 41} .0223538{col 57} .6359312{col 69} .7256212{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==4, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       408{col 29}  .622549{col 41} .0239987{col 57} .5735344{col 69} .6697721{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==5, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       410{col 29}  .604878{col 41} .0241439{col 57} .5557193{col 69} .6525116{txt}

{com}. 
. *��

. 
. *Please check "Figure 1" JMP Report file where I make Figure 1 based on the above ci results.

. 
. 
. 
. * Figure 2 Aim Treatment and FTA Approval

. 
. ci FTAapproval2 if AIMtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       547{col 29}  .606947{col 41} .0208837{col 57} .5646137{col 69} .6481185{txt}

{com}. 
. ci FTAapproval2 if AIMtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       532{col 29} .6541353{col 41}  .020622{col 57} .6120071{col 69} .6945401{txt}

{com}. 
. ci FTAapproval2 if AIMtreat==3, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       519{col 29} .6512524{col 41} .0209193{col 57} .6085167{col 69} .6922541{txt}

{com}. 
. ci FTAapproval2 if AIMtreat==4, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       521{col 29} .6046065{col 41} .0214206{col 57} .5611666{col 69} .6468527{txt}

{com}. 
. *��

. 
. *Please check "Figure 2" JMP Report file where I make Figure 2 based on the above ci results.

. 
. 
. 
. *Figure 3 Member Treatment and FTA Approval under Security Aim Treatment

. 
. ci FTAapproval2 if MEMBERtreat==1 & AIMtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       108{col 29} .6574074{col 41} .0456662{col 57} .5598962{col 69}  .746043{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==2 & AIMtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       113{col 29} .5221239{col 41}   .04699{col 57} .4260969{col 69} .6169629{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==3 & AIMtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       123{col 29} .7317073{col 41} .0399503{col 57} .6443438{col 69} .8075777{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==4 & AIMtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}        96{col 29}    .5625{col 41} .0506308{col 57} .4574615{col 69} .6635771{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==5 & AIMtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       107{col 29} .5420561{col 41} .0481655{col 57} .4429675{col 69} .6387575{txt}

{com}. 
. *��

. 
. *Please check "Figure 3" JMP Report file where I make Figure 3 based on the above ci results.

. 
. 
. 
. *Figure 4 Member Treatment and FTA Approval under Economy Aim Treatment

. 
. ci FTAapproval2 if MEMBERtreat==1 & AIMtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       105{col 29} .7142857{col 41} .0440867{col 57} .6178805{col 69} .7982197{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==2 & AIMtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       112{col 29} .5892857{col 41} .0464862{col 57} .4923638{col 69} .6813658{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==3 & AIMtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       107{col 29} .6168224{col 41}  .046999{col 57} .5178405{col 69}  .709164{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==4 & AIMtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       105{col 29} .6380952{col 41}  .046897{col 57} .5385486{col 69} .7296351{txt}

{com}. 
. ci FTAapproval2 if MEMBERtreat==5 & AIMtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       103{col 29} .7184466{col 41} .0443158{col 57} .6212719{col 69} .8026531{txt}

{com}. 
. *��

. 
. *Please check "Figure 4" JMP Report file where I make Figure 4 based on the above ci results.

. 
. 
. 
. *Figure 5 Expectation of Security and Economy Effect and FTA Approval

. 
. 
. 
. *CREATE variables regarding Expectation of Security and Economy effect

. 
. generate EXPECT_SEC_EFFECT_NODK5 = 5 if EXPECT_SEC_EFFECT < 6
{txt}(408 missing values generated)

{com}. 
. replace EXPECT_SEC_EFFECT_NODK5 = 4 if EXPECT_SEC_EFFECT==2
{txt}(553 real changes made)

{com}. 
. replace EXPECT_SEC_EFFECT_NODK5 = 3 if EXPECT_SEC_EFFECT==3
{txt}(814 real changes made)

{com}. 
. replace EXPECT_SEC_EFFECT_NODK5 = 2 if EXPECT_SEC_EFFECT==4
{txt}(218 real changes made)

{com}. 
. replace EXPECT_SEC_EFFECT_NODK5 = 1 if EXPECT_SEC_EFFECT==5
{txt}(47 real changes made)

{com}. 
. 
. 
. generate EXPECT_SEC_EFFECT_NODK2 = 0 if EXPECT_SEC_EFFECT < 6
{txt}(408 missing values generated)

{com}. 
. replace EXPECT_SEC_EFFECT_NODK2 = 1 if EXPECT_SEC_EFFECT < 3
{txt}(632 real changes made)

{com}. 
. 
. 
. generate EXPECT_SEC_EFFECT_DK = 0 

. 
. replace EXPECT_SEC_EFFECT_DK = 1 if EXPECT_SEC_EFFECT==6
{txt}(408 real changes made)

{com}. 
. 
. 
. generate EXPECT_ECON_EFFECT_NODK5 = 5 if EXPECT_ECON_EFFECT < 6
{txt}(381 missing values generated)

{com}. 
. replace EXPECT_ECON_EFFECT_NODK5 = 4 if EXPECT_ECON_EFFECT==2
{txt}(841 real changes made)

{com}. 
. replace EXPECT_ECON_EFFECT_NODK5 = 3 if EXPECT_ECON_EFFECT==3
{txt}(463 real changes made)

{com}. 
. replace EXPECT_ECON_EFFECT_NODK5 = 2 if EXPECT_ECON_EFFECT==4
{txt}(260 real changes made)

{com}. 
. replace EXPECT_ECON_EFFECT_NODK5 = 1 if EXPECT_ECON_EFFECT==5
{txt}(60 real changes made)

{com}. 
. 
. 
. generate EXPECT_ECON_EFFECT_NODK2 = 0 if EXPECT_ECON_EFFECT < 6
{txt}(381 missing values generated)

{com}. 
. replace EXPECT_ECON_EFFECT_NODK2 = 1 if EXPECT_ECON_EFFECT < 3
{txt}(955 real changes made)

{com}. 
. 
. 
. generate EXPECT_ECON_EFFECT_DK = 0 

. 
. replace EXPECT_ECON_EFFECT_DK = 1 if EXPECT_ECON_EFFECT==6
{txt}(381 real changes made)

{com}. 
. 
. 
. ci FTAapproval2 if EXPECT_SEC_EFFECT_NODK2==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       632{col 29} .8734177{col 41} .0132263{col 57} .8449493{col 69} .8983382{txt}

{com}. 
. ci FTAapproval2 if EXPECT_SEC_EFFECT_NODK2==0, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}      1079{col 29} .5912882{col 41} .0149657{col 57} .5612765{col 69} .6208007{txt}

{com}. 
. ci FTAapproval2 if EXPECT_ECON_EFFECT_NODK2==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       955{col 29} .9109948{col 41} .0092143{col 57} .8911197{col 69} .9282884{txt}

{com}. 
. ci FTAapproval2 if EXPECT_ECON_EFFECT_NODK2==0, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
FTAapproval2 {c |}{col 16}{res}       783{col 29}  .449553{col 41} .0177774{col 57} .4143179{col 69} .4851693{txt}

{com}. 
. *��

. 
. *Please check "Figure 5" JMP Report file where I make Figure 5 based on the above ci results.

. 
. 
. 
. *Figure 6 Member Treatment and Expectation of Security Effect

. 
. ci EXPECT_SEC_EFFECT_NODK2 if MEMBERtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_SEC~2 {c |}{col 16}{res}       352{col 29}       .5{col 41} .0266501{col 57} .4465372{col 69} .5534628{txt}

{com}. 
. ci EXPECT_SEC_EFFECT_NODK2 if MEMBERtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_SEC~2 {c |}{col 16}{res}       365{col 29} .2465753{col 41} .0225605{col 57} .2032002{col 69} .2941151{txt}

{com}. 
. ci EXPECT_SEC_EFFECT_NODK2 if MEMBERtreat==3, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_SEC~2 {c |}{col 16}{res}       349{col 29} .4641834{col 41} .0266956{col 57}  .410927{col 69} .5180525{txt}

{com}. 
. ci EXPECT_SEC_EFFECT_NODK2 if MEMBERtreat==4, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_SEC~2 {c |}{col 16}{res}       321{col 29} .2990654{col 41} .0255546{col 57} .2494813{col 69} .3524028{txt}

{com}. 
. ci EXPECT_SEC_EFFECT_NODK2 if MEMBERtreat==5, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_SEC~2 {c |}{col 16}{res}       324{col 29} .3333333{col 41} .0261891{col 57} .2821929{col 69} .3875543{txt}

{com}. 
. *��

. 
. *Please check "Figure 6" JMP Report file where I make Figure 6 based on the above ci results.

. 
. 
. 
. *Figure 7 Member Treatment and Expectation of Economy Effect

. 
. ci EXPECT_ECON_EFFECT_NODK2 if MEMBERtreat==1, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_ECO~2 {c |}{col 16}{res}       351{col 29} .5868946{col 41} .0262819{col 57} .5334051{col 69} .6389054{txt}

{com}. 
. ci EXPECT_ECON_EFFECT_NODK2 if MEMBERtreat==2, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_ECO~2 {c |}{col 16}{res}       370{col 29} .5405405{col 41} .0259082{col 57} .4882589{col 69} .5921684{txt}

{com}. 
. ci EXPECT_ECON_EFFECT_NODK2 if MEMBERtreat==3, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_ECO~2 {c |}{col 16}{res}       351{col 29} .5470085{col 41} .0265698{col 57} .4932984{col 69} .5999191{txt}

{com}. 
. ci EXPECT_ECON_EFFECT_NODK2 if MEMBERtreat==4, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_ECO~2 {c |}{col 16}{res}       327{col 29}  .529052{col 41} .0276033{col 57} .4733688{col 69} .5842043{txt}

{com}. 
. ci EXPECT_ECON_EFFECT_NODK2 if MEMBERtreat==5, binomial level(95)

{txt}{col 58}{hline 2} Binomial Exact {hline 2}
    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
EXPECT_ECO~2 {c |}{col 16}{res}       339{col 29} .5427729{col 41} .0270567{col 57} .4880916{col 69} .5967005{txt}

{com}. 
. *��

. 
. *Please check "Figure 7" JMP Report file where I make Figure 7 based on the above ci results.

. 
. 
. 
. *Figure A1 Member Treatment and FTA Approval

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2958.0122}  
Iteration 1:{space 3}log likelihood = {res:-2946.9283}  
Iteration 2:{space 3}log likelihood = {res:-2946.9174}  
Iteration 3:{space 3}log likelihood = {res:-2946.9174}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}      2119
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}     22.19
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0002
{txt}Log likelihood = {res}-2946.9174{txt}{col 51}Pseudo R2{col 67}= {res}    0.0038

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} .4535101{col 28}{space 2} .1237955{col 39}{space 1}    3.66{col 48}{space 3}0.000{col 56}{space 4} .2108753{col 69}{space 3} .6961448
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2} .5248828{col 28}{space 2} .1250098{col 39}{space 1}    4.20{col 48}{space 3}0.000{col 56}{space 4} .2798682{col 69}{space 3} .7698975
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} .2725917{col 28}{space 2} .1259222{col 39}{space 1}    2.16{col 48}{space 3}0.030{col 56}{space 4} .0257888{col 69}{space 3} .5193945
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} .2123722{col 28}{space 2} .1252533{col 39}{space 1}    1.70{col 48}{space 3}0.090{col 56}{space 4}-.0331198{col 69}{space 3} .4578642
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-2.761056{col 28}{space 2} .1275408{col 56}{space 4}-3.011032{col 69}{space 3}-2.511081
{txt}         /cut2 {c |}{col 16}{res}{space 2} -1.41535{col 28}{space 2} .0964155{col 56}{space 4} -1.60432{col 69}{space 3}-1.226379
{txt}         /cut3 {c |}{col 16}{res}{space 2}-.2381467{col 28}{space 2} .0894288{col 56}{space 4}-.4134239{col 69}{space 3}-.0628694
{txt}         /cut4 {c |}{col 16}{res}{space 2} 1.712273{col 28}{space 2} .0972754{col 56}{space 4} 1.521616{col 69}{space 3} 1.902929
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *��

. 
. *Please check "Figure A1" JMP Report file where I make Figure A1 based on the above result.

. 
. 
. 
. *Table A1. Ordinal Logistic Analysis of FTA Approval

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2958.0122}  
Iteration 1:{space 3}log likelihood = {res:-2946.9283}  
Iteration 2:{space 3}log likelihood = {res:-2946.9174}  
Iteration 3:{space 3}log likelihood = {res:-2946.9174}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}      2119
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}     22.19
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0002
{txt}Log likelihood = {res}-2946.9174{txt}{col 51}Pseudo R2{col 67}= {res}    0.0038

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |} Odds Ratio{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} 1.573827{col 28}{space 2} .1948327{col 39}{space 1}    3.66{col 48}{space 3}0.000{col 56}{space 4} 1.234758{col 69}{space 3} 2.006004
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2} 1.690261{col 28}{space 2} .2112991{col 39}{space 1}    4.20{col 48}{space 3}0.000{col 56}{space 4} 1.322955{col 69}{space 3} 2.159545
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} 1.313364{col 28}{space 2} .1653816{col 39}{space 1}    2.16{col 48}{space 3}0.030{col 56}{space 4} 1.026124{col 69}{space 3}  1.68101
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} 1.236608{col 28}{space 2} .1548893{col 39}{space 1}    1.70{col 48}{space 3}0.090{col 56}{space 4} .9674226{col 69}{space 3} 1.580694
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-2.761056{col 28}{space 2} .1275408{col 56}{space 4}-3.011032{col 69}{space 3}-2.511081
{txt}         /cut2 {c |}{col 16}{res}{space 2} -1.41535{col 28}{space 2} .0964155{col 56}{space 4} -1.60432{col 69}{space 3}-1.226379
{txt}         /cut3 {c |}{col 16}{res}{space 2}-.2381467{col 28}{space 2} .0894288{col 56}{space 4}-.4134239{col 69}{space 3}-.0628694
{txt}         /cut4 {c |}{col 16}{res}{space 2} 1.712273{col 28}{space 2} .0972754{col 56}{space 4} 1.521616{col 69}{space 3} 1.902929
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *Figure A2 Member Treatment and FTA Approval under Security Aim Treatment

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL if AIMtreat==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-767.81336}  
Iteration 1:{space 3}log likelihood = {res:-762.41263}  
Iteration 2:{space 3}log likelihood = {res: -762.4025}  
Iteration 3:{space 3}log likelihood = {res:-762.40249}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       547
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}     10.82
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0286
{txt}Log likelihood = {res}-762.40249{txt}{col 51}Pseudo R2{col 67}= {res}    0.0070

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} .6446981{col 28}{space 2} .2382722{col 39}{space 1}    2.71{col 48}{space 3}0.007{col 56}{space 4} .1776931{col 69}{space 3} 1.111703
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2} .6346807{col 28}{space 2} .2474772{col 39}{space 1}    2.56{col 48}{space 3}0.010{col 56}{space 4} .1496343{col 69}{space 3} 1.119727
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} .2290744{col 28}{space 2} .2552944{col 39}{space 1}    0.90{col 48}{space 3}0.370{col 56}{space 4}-.2712934{col 69}{space 3} .7294422
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} .2228901{col 28}{space 2} .2489692{col 39}{space 1}    0.90{col 48}{space 3}0.371{col 56}{space 4}-.2650805{col 69}{space 3} .7108608
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-2.595213{col 28}{space 2} .2420131{col 56}{space 4} -3.06955{col 69}{space 3}-2.120876
{txt}         /cut2 {c |}{col 16}{res}{space 2}-1.198339{col 28}{space 2} .1858019{col 56}{space 4}-1.562504{col 69}{space 3}-.8341736
{txt}         /cut3 {c |}{col 16}{res}{space 2}-.0782115{col 28}{space 2} .1766396{col 56}{space 4}-.4244188{col 69}{space 3} .2679958
{txt}         /cut4 {c |}{col 16}{res}{space 2} 1.995847{col 28}{space 2} .1984656{col 56}{space 4} 1.606862{col 69}{space 3} 2.384833
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *��

. 
. *Please check "Figure A2" JMP Report file where I make Figure A2 based on the above result.

. 
. 
. 
. *Table A2. Ordinal Logistic Analysis of FTA Approval under Security Aim Treatment

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL if AIMtreat==1, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-767.81336}  
Iteration 1:{space 3}log likelihood = {res:-762.41263}  
Iteration 2:{space 3}log likelihood = {res: -762.4025}  
Iteration 3:{space 3}log likelihood = {res:-762.40249}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       547
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}     10.82
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0286
{txt}Log likelihood = {res}-762.40249{txt}{col 51}Pseudo R2{col 67}= {res}    0.0070

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |} Odds Ratio{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} 1.905412{col 28}{space 2} .4540067{col 39}{space 1}    2.71{col 48}{space 3}0.007{col 56}{space 4} 1.194459{col 69}{space 3}  3.03953
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2}  1.88642{col 28}{space 2} .4668459{col 39}{space 1}    2.56{col 48}{space 3}0.010{col 56}{space 4} 1.161409{col 69}{space 3} 3.064018
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} 1.257436{col 28}{space 2} .3210162{col 39}{space 1}    0.90{col 48}{space 3}0.370{col 56}{space 4} .7623928{col 69}{space 3} 2.073923
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} 1.249683{col 28}{space 2} .3111326{col 39}{space 1}    0.90{col 48}{space 3}0.371{col 56}{space 4} .7671442{col 69}{space 3} 2.035743
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-2.595213{col 28}{space 2} .2420131{col 56}{space 4} -3.06955{col 69}{space 3}-2.120876
{txt}         /cut2 {c |}{col 16}{res}{space 2}-1.198339{col 28}{space 2} .1858019{col 56}{space 4}-1.562504{col 69}{space 3}-.8341736
{txt}         /cut3 {c |}{col 16}{res}{space 2}-.0782115{col 28}{space 2} .1766396{col 56}{space 4}-.4244188{col 69}{space 3} .2679958
{txt}         /cut4 {c |}{col 16}{res}{space 2} 1.995847{col 28}{space 2} .1984656{col 56}{space 4} 1.606862{col 69}{space 3} 2.384833
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *Figure A3 Member Treatment and FTA Approval under Economy Aim Treatment

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL if AIMtreat==2

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-717.35531}  
Iteration 1:{space 3}log likelihood = {res:  -714.055}  
Iteration 2:{space 3}log likelihood = {res:  -714.051}  
Iteration 3:{space 3}log likelihood = {res:  -714.051}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       532
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}      6.61
{txt}{col 51}Prob > chi2{col 67}= {res}    0.1581
{txt}Log likelihood = {res}  -714.051{txt}{col 51}Pseudo R2{col 67}= {res}    0.0046

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2}  .173981{col 28}{space 2} .2485394{col 39}{space 1}    0.70{col 48}{space 3}0.484{col 56}{space 4}-.3131472{col 69}{space 3} .6611092
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2} .6087482{col 28}{space 2} .2526777{col 39}{space 1}    2.41{col 48}{space 3}0.016{col 56}{space 4}  .113509{col 69}{space 3} 1.103987
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} .2786033{col 28}{space 2} .2534026{col 39}{space 1}    1.10{col 48}{space 3}0.272{col 56}{space 4}-.2180566{col 69}{space 3} .7752633
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} .3937371{col 28}{space 2} .2477167{col 39}{space 1}    1.59{col 48}{space 3}0.112{col 56}{space 4}-.0917787{col 69}{space 3} .8792529
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-3.083819{col 28}{space 2}  .281421{col 56}{space 4}-3.635394{col 69}{space 3}-2.532244
{txt}         /cut2 {c |}{col 16}{res}{space 2} -1.75282{col 28}{space 2} .2016104{col 56}{space 4}-2.147969{col 69}{space 3} -1.35767
{txt}         /cut3 {c |}{col 16}{res}{space 2}-.3543153{col 28}{space 2} .1791046{col 56}{space 4}-.7053539{col 69}{space 3}-.0032767
{txt}         /cut4 {c |}{col 16}{res}{space 2} 1.610776{col 28}{space 2} .1927559{col 56}{space 4} 1.232982{col 69}{space 3} 1.988571
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *��

. 
. *Please check "Figure A3" JMP Report file where I make Figure A3 based on the above result.

. 
. 
. 
. *Table A3. Ordinal Logistic Analysis of FTA Approval under Economy Aim Treatment

. 
. ologit FTAapproval5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL if AIMtreat==2, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-717.35531}  
Iteration 1:{space 3}log likelihood = {res:  -714.055}  
Iteration 2:{space 3}log likelihood = {res:  -714.051}  
Iteration 3:{space 3}log likelihood = {res:  -714.051}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}       532
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}      6.61
{txt}{col 51}Prob > chi2{col 67}= {res}    0.1581
{txt}Log likelihood = {res}  -714.051{txt}{col 51}Pseudo R2{col 67}= {res}    0.0046

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  FTAapproval5{col 16}{c |} Odds Ratio{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MEMBER_USCH {c |}{col 16}{res}{space 2} 1.190033{col 28}{space 2}   .29577{col 39}{space 1}    0.70{col 48}{space 3}0.484{col 56}{space 4} .7311423{col 69}{space 3}  1.93694
{txt}{space 5}MEMBER_US {c |}{col 16}{res}{space 2} 1.838129{col 28}{space 2} .4644543{col 39}{space 1}    2.41{col 48}{space 3}0.016{col 56}{space 4} 1.120202{col 69}{space 3} 3.016169
{txt}{space 3}MEMBER_NOGP {c |}{col 16}{res}{space 2} 1.321283{col 28}{space 2} .3348166{col 39}{space 1}    1.10{col 48}{space 3}0.272{col 56}{space 4} .8040799{col 69}{space 3} 2.171164
{txt}MEMBER_CONTROL {c |}{col 16}{res}{space 2} 1.482511{col 28}{space 2} .3672426{col 39}{space 1}    1.59{col 48}{space 3}0.112{col 56}{space 4}  .912307{col 69}{space 3} 2.409099
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-3.083819{col 28}{space 2}  .281421{col 56}{space 4}-3.635394{col 69}{space 3}-2.532244
{txt}         /cut2 {c |}{col 16}{res}{space 2} -1.75282{col 28}{space 2} .2016104{col 56}{space 4}-2.147969{col 69}{space 3} -1.35767
{txt}         /cut3 {c |}{col 16}{res}{space 2}-.3543153{col 28}{space 2} .1791046{col 56}{space 4}-.7053539{col 69}{space 3}-.0032767
{txt}         /cut4 {c |}{col 16}{res}{space 2} 1.610776{col 28}{space 2} .1927559{col 56}{space 4} 1.232982{col 69}{space 3} 1.988571
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *Figure A4 Member Treatment and Expectation of Security Effect

. 
. ologit EXPECT_SEC_EFFECT_NODK5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2090.3578}  
Iteration 1:{space 3}log likelihood = {res:-2049.3494}  
Iteration 2:{space 3}log likelihood = {res:-2049.1415}  
Iteration 3:{space 3}log likelihood = {res:-2049.1414}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}      1711
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}     82.43
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2049.1414{txt}{col 51}Pseudo R2{col 67}= {res}    0.0197

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}EXPECT_SEC_EFFECT_NODK5{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}MEMBER_USCH {c |}{col 25}{res}{space 2} .9588182{col 37}{space 2}  .143068{col 48}{space 1}    6.70{col 57}{space 3}0.000{col 65}{space 4} .6784101{col 78}{space 3} 1.239226
{txt}{space 14}MEMBER_US {c |}{col 25}{res}{space 2} 1.105574{col 37}{space 2} .1439534{col 48}{space 1}    7.68{col 57}{space 3}0.000{col 65}{space 4} .8234303{col 78}{space 3} 1.387717
{txt}{space 12}MEMBER_NOGP {c |}{col 25}{res}{space 2} .2736176{col 37}{space 2} .1454434{col 48}{space 1}    1.88{col 57}{space 3}0.060{col 65}{space 4}-.0114463{col 78}{space 3} .5586815
{txt}{space 9}MEMBER_CONTROL {c |}{col 25}{res}{space 2} .5098161{col 37}{space 2} .1437376{col 48}{space 1}    3.55{col 57}{space 3}0.000{col 65}{space 4} .2280956{col 78}{space 3} .7915365
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  /cut1 {c |}{col 25}{res}{space 2}-3.077091{col 37}{space 2} .1680114{col 65}{space 4}-3.406388{col 78}{space 3}-2.747795
{txt}                  /cut2 {c |}{col 25}{res}{space 2} -1.18605{col 37}{space 2} .1062374{col 65}{space 4}-1.394272{col 78}{space 3}-.9778286
{txt}                  /cut3 {c |}{col 25}{res}{space 2} 1.129334{col 37}{space 2} .1056496{col 65}{space 4} .9222643{col 78}{space 3} 1.336403
{txt}                  /cut4 {c |}{col 25}{res}{space 2} 3.678926{col 37}{space 2} .1514471{col 65}{space 4} 3.382095{col 78}{space 3} 3.975757
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *��

. 
. *Please check "Figure A4" JMP Report file where I make Figure A4 based on the above result.

. 
. 
. 
. *Table A4. Ordinal Logistic Analysis of Expectation of Security Effect

. 
. ologit EXPECT_SEC_EFFECT_NODK5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2090.3578}  
Iteration 1:{space 3}log likelihood = {res:-2049.3494}  
Iteration 2:{space 3}log likelihood = {res:-2049.1415}  
Iteration 3:{space 3}log likelihood = {res:-2049.1414}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}      1711
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}     82.43
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2049.1414{txt}{col 51}Pseudo R2{col 67}= {res}    0.0197

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}EXPECT_SEC_EFFECT_NODK5{col 25}{c |} Odds Ratio{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}MEMBER_USCH {c |}{col 25}{res}{space 2} 2.608612{col 37}{space 2} .3732089{col 48}{space 1}    6.70{col 57}{space 3}0.000{col 65}{space 4} 1.970742{col 78}{space 3} 3.452941
{txt}{space 14}MEMBER_US {c |}{col 25}{res}{space 2} 3.020957{col 37}{space 2} .4348771{col 48}{space 1}    7.68{col 57}{space 3}0.000{col 65}{space 4} 2.278302{col 78}{space 3} 4.005696
{txt}{space 12}MEMBER_NOGP {c |}{col 25}{res}{space 2} 1.314712{col 37}{space 2} .1912162{col 48}{space 1}    1.88{col 57}{space 3}0.060{col 65}{space 4}  .988619{col 78}{space 3} 1.748366
{txt}{space 9}MEMBER_CONTROL {c |}{col 25}{res}{space 2} 1.664985{col 37}{space 2} .2393209{col 48}{space 1}    3.55{col 57}{space 3}0.000{col 65}{space 4} 1.256205{col 78}{space 3} 2.206785
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  /cut1 {c |}{col 25}{res}{space 2}-3.077091{col 37}{space 2} .1680114{col 65}{space 4}-3.406388{col 78}{space 3}-2.747795
{txt}                  /cut2 {c |}{col 25}{res}{space 2} -1.18605{col 37}{space 2} .1062374{col 65}{space 4}-1.394272{col 78}{space 3}-.9778286
{txt}                  /cut3 {c |}{col 25}{res}{space 2} 1.129334{col 37}{space 2} .1056496{col 65}{space 4} .9222643{col 78}{space 3} 1.336403
{txt}                  /cut4 {c |}{col 25}{res}{space 2} 3.678926{col 37}{space 2} .1514471{col 65}{space 4} 3.382095{col 78}{space 3} 3.975757
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *Figure A5 Member Treatment and Expectation of Economic Effect

. 
. ologit EXPECT_ECON_EFFECT_NODK5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2229.4084}  
Iteration 1:{space 3}log likelihood = {res: -2227.283}  
Iteration 2:{space 3}log likelihood = {res:-2227.2824}  
Iteration 3:{space 3}log likelihood = {res:-2227.2824}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}      1738
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}      4.25
{txt}{col 51}Prob > chi2{col 67}= {res}    0.3730
{txt}Log likelihood = {res}-2227.2824{txt}{col 51}Pseudo R2{col 67}= {res}    0.0010

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}EXPECT_ECON_EFFECT_NODK5{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}MEMBER_USCH {c |}{col 26}{res}{space 2} .0391984{col 38}{space 2}  .137982{col 49}{space 1}    0.28{col 58}{space 3}0.776{col 66}{space 4}-.2312414{col 79}{space 3} .3096381
{txt}{space 15}MEMBER_US {c |}{col 26}{res}{space 2} .2264853{col 38}{space 2} .1391956{col 49}{space 1}    1.63{col 58}{space 3}0.104{col 66}{space 4} -.046333{col 79}{space 3} .4993035
{txt}{space 13}MEMBER_NOGP {c |}{col 26}{res}{space 2}-.0062315{col 38}{space 2} .1411816{col 49}{space 1}   -0.04{col 58}{space 3}0.965{col 66}{space 4}-.2829423{col 79}{space 3} .2704793
{txt}{space 10}MEMBER_CONTROL {c |}{col 26}{res}{space 2}-.0276811{col 38}{space 2} .1393404{col 49}{space 1}   -0.20{col 58}{space 3}0.843{col 66}{space 4}-.3007833{col 79}{space 3} .2454212
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                   /cut1 {c |}{col 26}{res}{space 2}-3.286991{col 38}{space 2} .1565039{col 66}{space 4}-3.593733{col 79}{space 3}-2.980249
{txt}                   /cut2 {c |}{col 26}{res}{space 2}-1.443551{col 38}{space 2} .1050656{col 66}{space 4}-1.649476{col 79}{space 3}-1.237627
{txt}                   /cut3 {c |}{col 26}{res}{space 2} -.152177{col 38}{space 2} .0975507{col 66}{space 4}-.3433729{col 79}{space 3} .0390189
{txt}                   /cut4 {c |}{col 26}{res}{space 2} 2.706942{col 38}{space 2} .1294866{col 66}{space 4} 2.453153{col 79}{space 3} 2.960731
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *��

. 
. *Please check "Figure A5" JMP Report file where I make Figure A5 based on the above result.

. 
. 
. 
. *Table A5. Ordinal Logistic Analysis of Expectation of Economic Effect

. 
. ologit EXPECT_ECON_EFFECT_NODK5 MEMBER_USCH MEMBER_US MEMBER_NOGP MEMBER_CONTROL, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2229.4084}  
Iteration 1:{space 3}log likelihood = {res: -2227.283}  
Iteration 2:{space 3}log likelihood = {res:-2227.2824}  
Iteration 3:{space 3}log likelihood = {res:-2227.2824}  
{res}
{txt}Ordered logistic regression{col 51}Number of obs{col 67}= {res}      1738
{txt}{col 51}LR chi2({res}4{txt}){col 67}= {res}      4.25
{txt}{col 51}Prob > chi2{col 67}= {res}    0.3730
{txt}Log likelihood = {res}-2227.2824{txt}{col 51}Pseudo R2{col 67}= {res}    0.0010

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}EXPECT_ECON_EFFECT_NODK5{col 26}{c |} Odds Ratio{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}MEMBER_USCH {c |}{col 26}{res}{space 2} 1.039977{col 38}{space 2} .1434981{col 49}{space 1}    0.28{col 58}{space 3}0.776{col 66}{space 4} .7935479{col 79}{space 3} 1.362932
{txt}{space 15}MEMBER_US {c |}{col 26}{res}{space 2} 1.254184{col 38}{space 2} .1745769{col 49}{space 1}    1.63{col 58}{space 3}0.104{col 66}{space 4}  .954724{col 79}{space 3} 1.647573
{txt}{space 13}MEMBER_NOGP {c |}{col 26}{res}{space 2} .9937879{col 38}{space 2} .1403045{col 49}{space 1}   -0.04{col 58}{space 3}0.965{col 66}{space 4} .7535633{col 79}{space 3} 1.310592
{txt}{space 10}MEMBER_CONTROL {c |}{col 26}{res}{space 2} .9726985{col 38}{space 2} .1355362{col 49}{space 1}   -0.20{col 58}{space 3}0.843{col 66}{space 4} .7402381{col 79}{space 3} 1.278159
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                   /cut1 {c |}{col 26}{res}{space 2}-3.286991{col 38}{space 2} .1565039{col 66}{space 4}-3.593733{col 79}{space 3}-2.980249
{txt}                   /cut2 {c |}{col 26}{res}{space 2}-1.443551{col 38}{space 2} .1050656{col 66}{space 4}-1.649476{col 79}{space 3}-1.237627
{txt}                   /cut3 {c |}{col 26}{res}{space 2} -.152177{col 38}{space 2} .0975507{col 66}{space 4}-.3433729{col 79}{space 3} .0390189
{txt}                   /cut4 {c |}{col 26}{res}{space 2} 2.706942{col 38}{space 2} .1294866{col 66}{space 4} 2.453153{col 79}{space 3} 2.960731
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. *Table A6 has been already made above. 

. 
. 
. 
. *Table A7 Association between DK responses at Mechanism Questions about Security Effect and Member Treatment

. 
. tabulate EXPECT_SEC_EFFECT_DK MEMBERtreat, chi2 row
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

EXPECT_SEC {c |}                      MEMBERtreat
_EFFECT_DK {c |}         1          2          3          4          5 {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}       352        365        349        321        324 {txt}{c |}{res}     1,711 
           {txt}{c |}{res}     20.57      21.33      20.40      18.76      18.94 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
         1 {c |}{res}        72         78         85         87         86 {txt}{c |}{res}       408 
           {txt}{c |}{res}     17.65      19.12      20.83      21.32      21.08 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       424        443        434        408        410 {txt}{c |}{res}     2,119 
           {txt}{c |}{res}     20.01      20.91      20.48      19.25      19.35 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}  4.1178  {txt} Pr = {res}0.390

{com}. 
. 
. 
. *Table A7 Association between DK responses at Mechanism Questions about Economy Effect and Member Treatment

. 
. tabulate EXPECT_ECON_EFFECT_DK MEMBERtreat, chi2 row
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

EXPECT_ECO {c |}
N_EFFECT_D {c |}                      MEMBERtreat
         K {c |}         1          2          3          4          5 {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}       351        370        351        327        339 {txt}{c |}{res}     1,738 
           {txt}{c |}{res}     20.20      21.29      20.20      18.81      19.51 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
         1 {c |}{res}        73         73         83         81         71 {txt}{c |}{res}       381 
           {txt}{c |}{res}     19.16      19.16      21.78      21.26      18.64 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       424        443        434        408        410 {txt}{c |}{res}     2,119 
           {txt}{c |}{res}     20.01      20.91      20.48      19.25      19.35 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}  2.3227  {txt} Pr = {res}0.677

{com}. save "C:\LLN (2016-17)\SurveyExperiment\FPA_2020\FPA_1st_round\FPA_2nd_R&R\ReplicationData\replication��o��\FPA2022_final.dta"
{txt}file C:\LLN (2016-17)\SurveyExperiment\FPA_2020\FPA_1st_round\FPA_2nd_R&R\ReplicationData\replication��o��\FPA2022_final.dta saved

{com}. exit, clear
